2 citations · 2 across the 6 of their papers we have counts for
7 papers
When Rewards Depend on the Group, GRPO Plays a Tournament
Junyi Gao, Yu Shi, Pingzhao Hu +1
Rewards for diversity, coverage and distribution matching make the reward of each sampled response depend on the rest of its group, and they are now routinely optimized with GRPO a…
Agent-Native Task-Oriented Communication with Joint Token Compression Coding and Modulation
Zhuoran Xiao, Yihang Huang, Tianyu Jiao +2
As large foundation models empower agents to become pervasive across industries and emerge as central actors in intelligent systems, a fundamental rethinking of communication parad…
Towards Native Intelligence: 6G-LLM Trained with Reinforcement Learning from NDT Feedback
Zhuoran Xiao, Tao Tao, Chenhui Ye +4
Owing to its comprehensive understanding of upper-layer application requirements and the capabilities of practical communication systems, the 6G-LLM (6G domain large language model…
Transmission With Machine Language Tokens: A Paradigm for Task-Oriented Agent Communication
Zhuoran Xiao, Chenhui Ye, Yijia Feng +4
The rapid advancement in large foundation models is propelling the paradigm shifts across various industries. One significant change is that agents, instead of traditional machines…
AI2MMUM: AI-AI Oriented Multi-Modal Universal Model Leveraging Telecom Domain Large Model
Tianyu Jiao, Zhuoran Xiao, Yihang Huang +9
Designing a 6G-oriented universal model capable of processing multi-modal data and executing diverse air interface tasks has emerged as a common goal in future wireless systems. Bu…
Addressing the Curse of Scenario and Task Generalization in AI-6G: A Multi-Modal Paradigm
Tianyu Jiao, Zhuoran Xiao, Yin Xu +9
Existing works on machine learning (ML)-empowered wireless communication primarily focus on monolithic scenarios and single tasks. However, with the blooming growth of communicatio…
LLM Agents as 6G Orchestrator: A Paradigm for Task-Oriented Physical-Layer Automation
Zhuoran Xiao, Chenhui Ye, Yunbo Hu +5
The rapid advancement in generative pre-training models is propelling a paradigm shift in technological progression from basic applications such as chatbots towards more sophistica…